Overview

Dataset statistics

Number of variables19
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.6 KiB
Average record size in memory152.1 B

Variable types

Numeric15
DateTime4

Alerts

ID is uniformly distributedUniform
ID has unique valuesUnique
L1_S0_F5 has 19 (1.9%) zerosZeros

Reproduction

Analysis started2024-02-24 22:48:35.248278
Analysis finished2024-02-24 22:49:59.667871
Duration1 minute and 24.42 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ID
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-02-24T22:49:59.893493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.81944
Coefficient of variation (CV)0.57706181
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.667
MonotonicityStrictly increasing
2024-02-24T22:50:00.343900image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
995 1
0.1%
994 1
0.1%
993 1
0.1%
992 1
0.1%
991 1
0.1%

L0_S0_F1
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.887
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative486
Negative (%)48.6%
Memory size7.9 KiB
2024-02-24T22:50:00.721754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-901
Q1-678
median123
Q3678
95-th percentile890
Maximum901
Range1888
Interquartile range (IQR)1356

Descriptive statistics

Standard deviation652.84395
Coefficient of variation (CV)-226.1323
Kurtosis-1.4820062
Mean-2.887
Median Absolute Deviation (MAD)666
Skewness-0.069886724
Sum-2887
Variance426205.22
MonotonicityNot monotonic
2024-02-24T22:50:00.998487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
789 99
 
9.9%
234 63
 
6.3%
678 59
 
5.9%
-901 56
 
5.6%
890 55
 
5.5%
-567 54
 
5.4%
-678 54
 
5.4%
567 51
 
5.1%
123 51
 
5.1%
-345 49
 
4.9%
Other values (9) 409
40.9%
ValueCountFrequency (%)
-987 49
4.9%
-901 56
5.6%
-890 49
4.9%
-789 47
4.7%
-678 54
5.4%
-567 54
5.4%
-456 41
4.1%
-345 49
4.9%
-234 40
4.0%
-123 47
4.7%
ValueCountFrequency (%)
901 46
4.6%
890 55
5.5%
789 99
9.9%
678 59
5.9%
567 51
5.1%
456 46
4.6%
345 44
4.4%
234 63
6.3%
123 51
5.1%
-123 47
4.7%

L0_S0_F2
Real number (ℝ)

Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.647
Minimum-987
Maximum987
Zeros0
Zeros (%)0.0%
Negative506
Negative (%)50.6%
Memory size7.9 KiB
2024-02-24T22:50:01.373670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-987
Q1-567
median-123
Q3567
95-th percentile987
Maximum987
Range1974
Interquartile range (IQR)1134

Descriptive statistics

Standard deviation621.7493
Coefficient of variation (CV)-133.79585
Kurtosis-1.3144811
Mean-4.647
Median Absolute Deviation (MAD)531
Skewness-0.0045188648
Sum-4647
Variance386572.19
MonotonicityNot monotonic
2024-02-24T22:50:01.678435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-234 66
 
6.6%
-654 64
 
6.4%
321 63
 
6.3%
-123 63
 
6.3%
654 61
 
6.1%
-987 60
 
6.0%
567 60
 
6.0%
123 59
 
5.9%
987 56
 
5.6%
789 56
 
5.6%
Other values (8) 392
39.2%
ValueCountFrequency (%)
-987 60
6.0%
-876 55
5.5%
-789 53
5.3%
-654 64
6.4%
-567 46
4.6%
-456 50
5.0%
-321 49
4.9%
-234 66
6.6%
-123 63
6.3%
123 59
5.9%
ValueCountFrequency (%)
987 56
5.6%
876 46
4.6%
789 56
5.6%
654 61
6.1%
567 60
6.0%
456 51
5.1%
321 63
6.3%
234 42
4.2%
123 59
5.9%
-123 63
6.3%

L0_S0_F3
Real number (ℝ)

Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.14
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative503
Negative (%)50.3%
Memory size7.9 KiB
2024-02-24T22:50:02.027970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-901
Q1-678
median-12
Q3567
95-th percentile901
Maximum901
Range1888
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation631.75172
Coefficient of variation (CV)-24.168008
Kurtosis-1.4006036
Mean-26.14
Median Absolute Deviation (MAD)666
Skewness0.008757687
Sum-26140
Variance399110.24
MonotonicityNot monotonic
2024-02-24T22:50:02.336690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
901 83
 
8.3%
-890 81
 
8.1%
-345 80
 
8.0%
345 70
 
7.0%
123 68
 
6.8%
-901 65
 
6.5%
-678 62
 
6.2%
678 62
 
6.2%
234 62
 
6.2%
-789 60
 
6.0%
Other values (10) 307
30.7%
ValueCountFrequency (%)
-987 6
 
0.6%
-901 65
6.5%
-890 81
8.1%
-789 60
6.0%
-678 62
6.2%
-567 20
 
2.0%
-456 43
4.3%
-345 80
8.0%
-234 33
3.3%
-123 6
 
0.6%
ValueCountFrequency (%)
901 83
8.3%
890 40
4.0%
789 42
4.2%
678 62
6.2%
567 26
 
2.6%
456 44
4.4%
345 70
7.0%
234 62
6.2%
123 68
6.8%
-12 47
4.7%
Distinct338
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2023-01-31 00:00:00
Maximum2024-01-30 00:00:00
2024-02-24T22:50:02.723152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:50:03.079881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

L1_S0_F5
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.253
Minimum-1000
Maximum1000
Zeros19
Zeros (%)1.9%
Negative490
Negative (%)49.0%
Memory size7.9 KiB
2024-02-24T22:50:03.418372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1000
5-th percentile-876
Q1-543
median0
Q3543
95-th percentile987
Maximum1000
Range2000
Interquartile range (IQR)1086

Descriptive statistics

Standard deviation613.74759
Coefficient of variation (CV)116.83754
Kurtosis-1.3164426
Mean5.253
Median Absolute Deviation (MAD)543
Skewness0.067390686
Sum5253
Variance376686.11
MonotonicityNot monotonic
2024-02-24T22:50:03.794020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
-543 44
 
4.4%
-234 43
 
4.3%
210 43
 
4.3%
876 42
 
4.2%
789 42
 
4.2%
-789 40
 
4.0%
987 38
 
3.8%
-321 38
 
3.8%
432 37
 
3.7%
-456 37
 
3.7%
Other values (28) 596
59.6%
ValueCountFrequency (%)
-1000 25
2.5%
-900 19
1.9%
-876 31
3.1%
-800 23
2.3%
-789 40
4.0%
-765 28
2.8%
-700 17
 
1.7%
-600 14
 
1.4%
-567 27
2.7%
-543 44
4.4%
ValueCountFrequency (%)
1000 20
2.0%
987 38
3.8%
900 15
 
1.5%
876 42
4.2%
800 16
 
1.6%
789 42
4.2%
700 21
2.1%
654 31
3.1%
600 9
 
0.9%
543 37
3.7%

L1_S0_F6
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10.707
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative494
Negative (%)49.4%
Memory size7.9 KiB
2024-02-24T22:50:04.098028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-987
Q1-678
median123
Q3567
95-th percentile890
Maximum901
Range1888
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation648.48006
Coefficient of variation (CV)-60.56599
Kurtosis-1.4787455
Mean-10.707
Median Absolute Deviation (MAD)666
Skewness-0.051547928
Sum-10707
Variance420526.39
MonotonicityNot monotonic
2024-02-24T22:50:04.443095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
789 105
 
10.5%
-678 57
 
5.7%
456 56
 
5.6%
345 56
 
5.6%
-789 54
 
5.4%
234 54
 
5.4%
-987 53
 
5.3%
-890 52
 
5.2%
-345 51
 
5.1%
-234 51
 
5.1%
Other values (9) 411
41.1%
ValueCountFrequency (%)
-987 53
5.3%
-901 41
4.1%
-890 52
5.2%
-789 54
5.4%
-678 57
5.7%
-567 47
4.7%
-456 49
4.9%
-345 51
5.1%
-234 51
5.1%
-123 39
3.9%
ValueCountFrequency (%)
901 48
4.8%
890 44
4.4%
789 105
10.5%
678 50
5.0%
567 48
4.8%
456 56
5.6%
345 56
5.6%
234 54
5.4%
123 45
4.5%
-123 39
 
3.9%

L1_S0_F7
Real number (ℝ)

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-27.991
Minimum-901
Maximum987
Zeros0
Zeros (%)0.0%
Negative504
Negative (%)50.4%
Memory size7.9 KiB
2024-02-24T22:50:04.761803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-901
5-th percentile-901
Q1-678
median-234
Q3678
95-th percentile987
Maximum987
Range1888
Interquartile range (IQR)1356

Descriptive statistics

Standard deviation669.79578
Coefficient of variation (CV)-23.928969
Kurtosis-1.5459247
Mean-27.991
Median Absolute Deviation (MAD)579
Skewness0.12134213
Sum-27991
Variance448626.39
MonotonicityNot monotonic
2024-02-24T22:50:05.210303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
987 78
 
7.8%
-901 70
 
7.0%
-876 68
 
6.8%
-432 66
 
6.6%
789 66
 
6.6%
-234 65
 
6.5%
678 64
 
6.4%
-789 62
 
6.2%
123 62
 
6.2%
321 61
 
6.1%
Other values (6) 338
33.8%
ValueCountFrequency (%)
-901 70
7.0%
-876 68
6.8%
-789 62
6.2%
-678 61
6.1%
-654 55
5.5%
-543 57
5.7%
-432 66
6.6%
-234 65
6.5%
123 62
6.2%
321 61
6.1%
ValueCountFrequency (%)
987 78
7.8%
876 50
5.0%
789 66
6.6%
678 64
6.4%
567 56
5.6%
345 59
5.9%
321 61
6.1%
123 62
6.2%
-234 65
6.5%
-432 66
6.6%
Distinct342
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2023-01-31 00:00:00
Maximum2024-01-30 00:00:00
2024-02-24T22:50:05.749408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:50:06.261261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

L2_S0_F9
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-50.244
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative518
Negative (%)51.8%
Memory size7.9 KiB
2024-02-24T22:50:06.819133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-987
Q1-678
median-123
Q3567
95-th percentile890
Maximum901
Range1888
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation640.98943
Coefficient of variation (CV)-12.757532
Kurtosis-1.4441205
Mean-50.244
Median Absolute Deviation (MAD)579
Skewness0.032680255
Sum-50244
Variance410867.45
MonotonicityNot monotonic
2024-02-24T22:50:07.330107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
789 104
 
10.4%
234 77
 
7.7%
-456 60
 
6.0%
-987 55
 
5.5%
345 54
 
5.4%
-345 54
 
5.4%
-789 54
 
5.4%
-678 54
 
5.4%
-901 53
 
5.3%
-890 52
 
5.2%
Other values (9) 383
38.3%
ValueCountFrequency (%)
-987 55
5.5%
-901 53
5.3%
-890 52
5.2%
-789 54
5.4%
-678 54
5.4%
-567 45
4.5%
-456 60
6.0%
-345 54
5.4%
-234 49
4.9%
-123 42
4.2%
ValueCountFrequency (%)
901 43
4.3%
890 36
 
3.6%
789 104
10.4%
678 38
 
3.8%
567 41
 
4.1%
456 48
4.8%
345 54
5.4%
234 77
7.7%
123 41
 
4.1%
-123 42
4.2%

L2_S0_F10
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-23.151
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative512
Negative (%)51.2%
Memory size7.9 KiB
2024-02-24T22:50:07.939650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-901
Q1-678
median-123
Q3567
95-th percentile890
Maximum901
Range1888
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation653.9907
Coefficient of variation (CV)-28.248918
Kurtosis-1.4759715
Mean-23.151
Median Absolute Deviation (MAD)666
Skewness-0.0021578891
Sum-23151
Variance427703.84
MonotonicityNot monotonic
2024-02-24T22:50:08.451716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
789 108
 
10.8%
-234 63
 
6.3%
-678 60
 
6.0%
-901 60
 
6.0%
-890 56
 
5.6%
890 54
 
5.4%
345 53
 
5.3%
123 52
 
5.2%
567 50
 
5.0%
-123 50
 
5.0%
Other values (9) 394
39.4%
ValueCountFrequency (%)
-987 46
4.6%
-901 60
6.0%
-890 56
5.6%
-789 47
4.7%
-678 60
6.0%
-567 46
4.6%
-456 40
4.0%
-345 44
4.4%
-234 63
6.3%
-123 50
5.0%
ValueCountFrequency (%)
901 49
4.9%
890 54
5.4%
789 108
10.8%
678 35
 
3.5%
567 50
5.0%
456 44
4.4%
345 53
5.3%
234 43
 
4.3%
123 52
5.2%
-123 50
5.0%

L2_S0_F11
Real number (ℝ)

Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-52.389
Minimum-987
Maximum987
Zeros0
Zeros (%)0.0%
Negative533
Negative (%)53.3%
Memory size7.9 KiB
2024-02-24T22:50:09.019033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-987
Q1-654
median-123
Q3567
95-th percentile987
Maximum987
Range1974
Interquartile range (IQR)1221

Descriptive statistics

Standard deviation630.08974
Coefficient of variation (CV)-12.027138
Kurtosis-1.3452651
Mean-52.389
Median Absolute Deviation (MAD)555
Skewness0.11164989
Sum-52389
Variance397013.08
MonotonicityNot monotonic
2024-02-24T22:50:09.423082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-789 73
 
7.3%
-654 71
 
7.1%
-987 65
 
6.5%
-456 62
 
6.2%
789 57
 
5.7%
456 56
 
5.6%
234 55
 
5.5%
-567 55
 
5.5%
-890 53
 
5.3%
654 52
 
5.2%
Other values (8) 401
40.1%
ValueCountFrequency (%)
-987 65
6.5%
-890 53
5.3%
-789 73
7.3%
-654 71
7.1%
-567 55
5.5%
-456 62
6.2%
-321 52
5.2%
-234 52
5.2%
-123 50
5.0%
123 52
5.2%
ValueCountFrequency (%)
987 51
5.1%
890 44
4.4%
789 57
5.7%
654 52
5.2%
567 49
4.9%
456 56
5.6%
321 51
5.1%
234 55
5.5%
123 52
5.2%
-123 50
5.0%
Distinct341
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2023-01-31 00:00:00
Maximum2024-01-29 00:00:00
2024-02-24T22:50:09.752030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:50:10.078889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

L3_S0_F13
Real number (ℝ)

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.575
Minimum-876
Maximum987
Zeros0
Zeros (%)0.0%
Negative495
Negative (%)49.5%
Memory size7.9 KiB
2024-02-24T22:50:10.382549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-876
5-th percentile-789
Q1-543
median123
Q3654
95-th percentile987
Maximum987
Range1863
Interquartile range (IQR)1197

Descriptive statistics

Standard deviation621.44304
Coefficient of variation (CV)19.68149
Kurtosis-1.4541602
Mean31.575
Median Absolute Deviation (MAD)666
Skewness0.10185889
Sum31575
Variance386191.45
MonotonicityNot monotonic
2024-02-24T22:50:10.663852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
876 114
 
11.4%
-543 108
 
10.8%
210 88
 
8.8%
-789 60
 
6.0%
543 57
 
5.7%
432 52
 
5.2%
-234 52
 
5.2%
987 52
 
5.2%
-567 51
 
5.1%
789 48
 
4.8%
Other values (7) 318
31.8%
ValueCountFrequency (%)
-876 48
4.8%
-789 60
6.0%
-765 48
4.8%
-567 51
5.1%
-543 108
10.8%
-456 45
4.5%
-321 47
4.7%
-234 52
5.2%
-109 36
 
3.6%
123 48
4.8%
ValueCountFrequency (%)
987 52
5.2%
876 114
11.4%
789 48
4.8%
654 46
4.6%
543 57
5.7%
432 52
5.2%
210 88
8.8%
123 48
4.8%
-109 36
 
3.6%
-234 52
5.2%

L3_S0_F14
Real number (ℝ)

Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.825
Minimum-987
Maximum876
Zeros0
Zeros (%)0.0%
Negative484
Negative (%)48.4%
Memory size7.9 KiB
2024-02-24T22:50:10.943264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-987
Q1-543
median123
Q3693
95-th percentile852
Maximum876
Range1863
Interquartile range (IQR)1236

Descriptive statistics

Standard deviation642.71082
Coefficient of variation (CV)20.850311
Kurtosis-1.5064967
Mean30.825
Median Absolute Deviation (MAD)579
Skewness-0.11230331
Sum30825
Variance413077.2
MonotonicityNot monotonic
2024-02-24T22:50:11.213553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
789 62
 
6.2%
-753 59
 
5.9%
-852 57
 
5.7%
654 57
 
5.7%
-987 56
 
5.6%
210 55
 
5.5%
852 54
 
5.4%
741 53
 
5.3%
-321 53
 
5.3%
123 53
 
5.3%
Other values (10) 441
44.1%
ValueCountFrequency (%)
-987 56
5.6%
-852 57
5.7%
-789 49
4.9%
-753 59
5.9%
-543 38
3.8%
-456 39
3.9%
-426 44
4.4%
-321 53
5.3%
-234 41
4.1%
-159 48
4.8%
ValueCountFrequency (%)
876 49
4.9%
852 54
5.4%
789 62
6.2%
741 53
5.3%
693 47
4.7%
654 57
5.7%
567 39
3.9%
468 47
4.7%
210 55
5.5%
123 53
5.3%

L3_S0_F15
Real number (ℝ)

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-40.337
Minimum-987
Maximum901
Zeros0
Zeros (%)0.0%
Negative514
Negative (%)51.4%
Memory size7.9 KiB
2024-02-24T22:50:11.495236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-987
5-th percentile-901
Q1-678
median-123
Q3567
95-th percentile890.55
Maximum901
Range1888
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation647.05311
Coefficient of variation (CV)-16.041181
Kurtosis-1.4547889
Mean-40.337
Median Absolute Deviation (MAD)579
Skewness0.017310013
Sum-40337
Variance418677.72
MonotonicityNot monotonic
2024-02-24T22:50:11.820276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
789 81
 
8.1%
-901 62
 
6.2%
234 58
 
5.8%
-890 55
 
5.5%
-345 53
 
5.3%
-789 53
 
5.3%
-678 52
 
5.2%
-123 52
 
5.2%
890 51
 
5.1%
123 51
 
5.1%
Other values (9) 432
43.2%
ValueCountFrequency (%)
-987 48
4.8%
-901 62
6.2%
-890 55
5.5%
-789 53
5.3%
-678 52
5.2%
-567 47
4.7%
-456 48
4.8%
-345 53
5.3%
-234 44
4.4%
-123 52
5.2%
ValueCountFrequency (%)
901 50
5.0%
890 51
5.1%
789 81
8.1%
678 42
4.2%
567 51
5.1%
456 51
5.1%
345 51
5.1%
234 58
5.8%
123 51
5.1%
-123 52
5.2%
Distinct345
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2023-01-31 00:00:00
Maximum2024-01-30 00:00:00
2024-02-24T22:50:12.123424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:50:12.505694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

H_Data
Real number (ℝ)

Distinct934
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.28208
Minimum141.01
Maximum207.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-02-24T22:50:12.914479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum141.01
5-th percentile144.319
Q1159.4925
median176.475
Q3191.85
95-th percentile204.4645
Maximum207.95
Range66.94
Interquartile range (IQR)32.3575

Descriptive statistics

Standard deviation19.120722
Coefficient of variation (CV)0.10908543
Kurtosis-1.1447314
Mean175.28208
Median Absolute Deviation (MAD)16.105
Skewness-0.10924177
Sum175282.08
Variance365.602
MonotonicityNot monotonic
2024-02-24T22:50:13.276475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194.95 3
 
0.3%
205.84 3
 
0.3%
179.7 2
 
0.2%
148.45 2
 
0.2%
179.85 2
 
0.2%
192.29 2
 
0.2%
198.22 2
 
0.2%
204.08 2
 
0.2%
174.08 2
 
0.2%
202.92 2
 
0.2%
Other values (924) 978
97.8%
ValueCountFrequency (%)
141.01 1
0.1%
141.14 1
0.1%
141.18 1
0.1%
141.23 1
0.1%
141.24 1
0.1%
141.41 1
0.1%
141.43 1
0.1%
141.49 1
0.1%
141.5 1
0.1%
141.51 1
0.1%
ValueCountFrequency (%)
207.95 1
0.1%
207.78 1
0.1%
207.77 1
0.1%
207.73 1
0.1%
207.57 1
0.1%
207.49 1
0.1%
207.4 1
0.1%
207.19 1
0.1%
207.17 1
0.1%
207.11 1
0.1%

AH_Data
Real number (ℝ)

Distinct608
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.41325
Minimum2
Maximum10.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-02-24T22:50:13.620796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.42
Q14.09
median6.45
Q38.69
95-th percentile10.421
Maximum10.91
Range8.91
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation2.6170995
Coefficient of variation (CV)0.40807695
Kurtosis-1.2649155
Mean6.41325
Median Absolute Deviation (MAD)2.29
Skewness0.017899073
Sum6413.25
Variance6.8492097
MonotonicityNot monotonic
2024-02-24T22:50:13.925686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.45 7
 
0.7%
4.29 6
 
0.6%
6.49 6
 
0.6%
10.67 5
 
0.5%
9.81 5
 
0.5%
6.17 5
 
0.5%
2.26 4
 
0.4%
7.56 4
 
0.4%
9.51 4
 
0.4%
7.4 4
 
0.4%
Other values (598) 950
95.0%
ValueCountFrequency (%)
2 1
 
0.1%
2.01 4
0.4%
2.02 1
 
0.1%
2.08 2
0.2%
2.11 1
 
0.1%
2.13 1
 
0.1%
2.14 3
0.3%
2.15 2
0.2%
2.16 1
 
0.1%
2.17 3
0.3%
ValueCountFrequency (%)
10.91 2
0.2%
10.89 1
 
0.1%
10.88 2
0.2%
10.87 2
0.2%
10.86 3
0.3%
10.84 3
0.3%
10.83 1
 
0.1%
10.81 1
 
0.1%
10.8 1
 
0.1%
10.78 2
0.2%

Interactions

2024-02-24T22:49:53.549107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:36.262624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:45.446335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:52.806554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:59.247586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:03.181514image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:07.593436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:12.770765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:16.764115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:21.004780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:26.319747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:30.366075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:35.264825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:41.966025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:46.853283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:53.977204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:36.770852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:46.156883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:53.399600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:59.513337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:03.435666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:08.003841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:13.018238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:17.330456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:21.273911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:26.572719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:30.621641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:35.665203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:42.301053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:47.165712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:54.395647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:37.297878image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:46.725800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:54.396090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:59.787983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:03.707803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:08.416843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:13.289018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:17.582858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:21.700323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:26.845941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:30.888769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:36.130108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:42.626236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:47.497677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:54.811615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:37.724777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:47.325436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:55.089388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:00.051668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:03.976021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:08.781693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:13.561270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:17.852695image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:22.109004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:27.117909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:31.549082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:36.679794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:42.960855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:47.847445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:55.167534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:38.258734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:47.759300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:55.509445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:00.309934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:04.237698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:09.114330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:13.817883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:18.113064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:22.502910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:27.394901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:31.818730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:37.147666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:43.256028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:48.141727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:55.464565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:38.993597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:48.278406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:55.927560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:00.587672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:04.504066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:09.524463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:14.095496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:18.385481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:22.879735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:27.686691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:32.078887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:37.664764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:43.621280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:48.551226image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:55.799664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:39.820751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:48.710311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:56.360206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:00.844492image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:04.776401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:09.916599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:14.356785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:18.643532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:23.199814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:27.962663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:32.343812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:38.169004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:43.911897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:48.903778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:56.115252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:40.826918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:49.256868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:56.781775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:01.098672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:05.049539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:10.303255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:14.615454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:18.900802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:23.567256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:28.237735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:32.609671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:38.715004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:44.232687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:49.223704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:56.402144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:41.702467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:49.640002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:57.155079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:01.357110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:05.323444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:10.706068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:14.881202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:19.164244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:23.979674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:28.504254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:32.895245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:39.283136image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:44.558560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:49.513079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:56.682343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:42.689399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:50.180567image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:57.436861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:01.625786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:05.583170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:11.140362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:15.148174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:19.429874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:24.386633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:28.779141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:33.340386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:39.792736image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:44.880947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:49.883759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:56.997299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:43.161650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:50.705540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:57.922421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:01.888649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:06.136809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:11.456116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:15.426594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:19.694663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:24.777498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:29.052024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:33.682446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:40.361259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:45.239990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:50.266446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:57.295223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:43.603022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:51.141063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:58.191940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:02.150557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:06.403706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:11.713905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:15.683816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:19.951554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:25.187629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:29.313965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:33.995146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:40.697946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:45.571880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:50.717901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:57.583042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:44.165491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:51.633059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:58.465891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:02.405761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:06.671591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:11.978095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:15.943301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:20.213706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:25.546123image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:29.583429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:34.333503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:41.021838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:45.905403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:51.308243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:57.879595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:44.624618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:52.067775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:58.739107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:02.681017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:06.938747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:12.253383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:16.248046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:20.489528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:25.813497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:29.861770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:34.643118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:41.350639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:46.216407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:52.545649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:58.197995image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:45.063643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:52.448662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:48:58.998199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:02.936298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:07.221095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:12.519737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:16.516576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:20.751862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:26.075486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:30.124956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:34.982841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:41.678407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:46.562258image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-24T22:49:53.059652image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-24T22:50:14.763444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
AH_DataH_DataIDL0_S0_F1L0_S0_F2L0_S0_F3L1_S0_F5L1_S0_F6L1_S0_F7L2_S0_F10L2_S0_F11L2_S0_F9L3_S0_F13L3_S0_F14L3_S0_F15
AH_Data1.0000.0220.0080.0610.043-0.007-0.026-0.029-0.014-0.063-0.028-0.001-0.012-0.0060.034
H_Data0.0221.000-0.0220.0290.0370.028-0.0010.0160.0160.037-0.035-0.028-0.011-0.003-0.042
ID0.008-0.0221.0000.0360.0220.0130.0440.0410.0440.0140.028-0.051-0.0140.046-0.009
L0_S0_F10.0610.0290.0361.000-0.0200.032-0.0010.015-0.0050.0340.022-0.0190.0250.003-0.031
L0_S0_F20.0430.0370.022-0.0201.000-0.033-0.049-0.027-0.0150.0280.046-0.0090.032-0.027-0.027
L0_S0_F3-0.0070.0280.0130.032-0.0331.0000.000-0.0320.0350.0350.0140.0200.003-0.022-0.042
L1_S0_F5-0.026-0.0010.044-0.001-0.0490.0001.000-0.033-0.0220.0200.040-0.041-0.009-0.0110.025
L1_S0_F6-0.0290.0160.0410.015-0.027-0.032-0.0331.0000.039-0.0480.057-0.0270.001-0.011-0.017
L1_S0_F7-0.0140.0160.044-0.005-0.0150.035-0.0220.0391.0000.0680.005-0.083-0.030-0.0060.054
L2_S0_F10-0.0630.0370.0140.0340.0280.0350.020-0.0480.0681.0000.0050.039-0.023-0.020-0.011
L2_S0_F11-0.028-0.0350.0280.0220.0460.0140.0400.0570.0050.0051.0000.0050.0120.039-0.050
L2_S0_F9-0.001-0.028-0.051-0.019-0.0090.020-0.041-0.027-0.0830.0390.0051.000-0.017-0.0720.022
L3_S0_F13-0.012-0.011-0.0140.0250.0320.003-0.0090.001-0.030-0.0230.012-0.0171.000-0.0380.042
L3_S0_F14-0.006-0.0030.0460.003-0.027-0.022-0.011-0.011-0.006-0.0200.039-0.072-0.0381.000-0.003
L3_S0_F150.034-0.042-0.009-0.031-0.027-0.0420.025-0.0170.054-0.011-0.0500.0220.042-0.0031.000

Missing values

2024-02-24T22:49:58.639017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-24T22:49:59.381836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

IDL0_S0_F1L0_S0_F2L0_S0_F3L0_S0_D4L1_S0_F5L1_S0_F6L1_S0_F7L1_S0_D8L2_S0_F9L2_S0_F10L2_S0_F11L2_S0_D12L3_S0_F13L3_S0_F14L3_S0_F15L3_S0_D16H_DataAH_Data
01789-4567891/13/2024432-789-8766/9/2023-234234-2341/27/2024876741-98710/20/2023187.339.60
12-123123-9011/3/202403459878/19/2023123789-5675/1/2023-234852-5676/7/2023190.403.76
23-567876-127/1/2023800890-90112/19/2023-456-45689011/13/2023-234789-4566/17/2023182.488.65
34567-987-6783/4/2023-10012332111/6/2023890-123-4561/6/20244324685674/26/2023162.266.76
45-901-1231236/26/2023-1000345-23412/15/2023-678-6788906/18/20238766934565/23/2023189.456.53
56-789234-34511/28/202343256767812/8/202378967845612/10/2023-3211231237/25/2023150.834.66
67-234-3211233/14/2023-789-901-2346/1/20237896782348/2/20232102106786/15/2023194.422.47
788901234565/21/2023-234-678-6549/21/2023-890-789-2342/25/2023210-7898908/20/2023182.356.34
89456-789-34511/24/2023-321456-7894/21/2023-234901-2349/22/2023-1095674562/10/2023189.885.57
910789-654-8904/15/2023432890-5436/4/2023-456789-8905/28/2023876-7899013/15/2023144.302.72
IDL0_S0_F1L0_S0_F2L0_S0_F3L0_S0_D4L1_S0_F5L1_S0_F6L1_S0_F7L1_S0_D8L2_S0_F9L2_S0_F10L2_S0_F11L2_S0_D12L3_S0_F13L3_S0_F14L3_S0_F15L3_S0_D16H_DataAH_Data
990991123-12390111/15/2023-543789-43210/11/2023-8907894563/2/2023-78987656712/24/2023188.0110.01
991992789-876-6785/30/2023210-7893216/6/2023456-6782347/21/2023876-456-89011/14/2023146.684.41
992993567-6543451/5/2024-321-456-9015/6/2023-345-123-5677/20/2023210123-8909/19/2023168.528.41
993994234-3213455/10/2023-234-901-4322/15/2023890-3451237/21/2023789-159-12310/31/2023174.879.68
994995-567-1232347/15/20230-456-6549/25/2023345-9019877/10/202321065434511/19/2023179.039.09
995996-987-234-8903/25/2023-1007899873/24/2023-678123-6549/27/2023543-321-1235/31/2023171.628.76
996997890123-2341/11/2024300678-6789/19/2023901-456-1239/2/2023876-426-5676/11/2023198.845.10
997998-789456-4561/25/2024-109-987-4327/13/2023-7899012345/25/2023-567852-90110/23/2023192.968.31
998999-901321-4563/19/2023876-5679871/1/2024-4569011236/25/2023-5678521237/13/2023169.324.43
9991000678789-4567/17/2023-900234-23410/23/202367878923411/14/2023-8768529013/8/2023154.488.49